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Development of the Lung Function Questionnaire (LFQ) to identify airflow obstruction
OBJECTIVE: To describe the item-selection and item-reduction for the Lung Function Questionnaire (LFQ), being developed to help clinicians identify patients appropriate for diagnostic evaluation for chronic obstructive pulmonary disease (COPD) using spirometry. METHODS: Item selection and reduction...
Autores principales: | , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2846155/ https://www.ncbi.nlm.nih.gov/pubmed/20368906 |
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author | Yawn, Barbara P Mapel, Douglas W Mannino, David M Martinez, Fernando J Donohue, James F Hanania, Nicola A Kosinski, Mark Rendas-Baum, Regina Mintz, Matthew Samuels, Steven Dalal, Anand A |
author_facet | Yawn, Barbara P Mapel, Douglas W Mannino, David M Martinez, Fernando J Donohue, James F Hanania, Nicola A Kosinski, Mark Rendas-Baum, Regina Mintz, Matthew Samuels, Steven Dalal, Anand A |
author_sort | Yawn, Barbara P |
collection | PubMed |
description | OBJECTIVE: To describe the item-selection and item-reduction for the Lung Function Questionnaire (LFQ), being developed to help clinicians identify patients appropriate for diagnostic evaluation for chronic obstructive pulmonary disease (COPD) using spirometry. METHODS: Item selection and reduction were based on information from 387 ≥40-year-old respondents to the third National Health and Nutrition Examination Survey who had self-reported chronic bronchitis. Item reduction involved stepwise logistic regression. The accuracy of the final subset of items for identifying individuals with airflow obstruction (forced expiratory volume in one second/forced vital capacity <0.70) versus those without it was assessed with receiver operating characteristic analysis. Content and face validity were assessed using focus groups of primary care physicians (n = 16) and interviews with COPD patients (n = 16). RESULTS: The model with all five items (age; smoking history; the presence of wheeze, dyspnea, and phlegm) compared with models with combinations of fewer items had the highest classification accuracy (area under the curve [AUC] = 0.720) with sensitivity and specificity of 73.2% and 58.2%, respectively. The presence of three or more factors yielded the highest AUC, a result suggesting that three or more affirmative answers is the most appropriate criterion indicating presence of airflow obstruction. CONCLUSIONS: The five-item LFQ retained sufficient accuracy, sensitivity, and specificity in identifying individuals with COPD for further validation testing. |
format | Text |
id | pubmed-2846155 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-28461552010-04-05 Development of the Lung Function Questionnaire (LFQ) to identify airflow obstruction Yawn, Barbara P Mapel, Douglas W Mannino, David M Martinez, Fernando J Donohue, James F Hanania, Nicola A Kosinski, Mark Rendas-Baum, Regina Mintz, Matthew Samuels, Steven Dalal, Anand A Int J Chron Obstruct Pulmon Dis Original Research OBJECTIVE: To describe the item-selection and item-reduction for the Lung Function Questionnaire (LFQ), being developed to help clinicians identify patients appropriate for diagnostic evaluation for chronic obstructive pulmonary disease (COPD) using spirometry. METHODS: Item selection and reduction were based on information from 387 ≥40-year-old respondents to the third National Health and Nutrition Examination Survey who had self-reported chronic bronchitis. Item reduction involved stepwise logistic regression. The accuracy of the final subset of items for identifying individuals with airflow obstruction (forced expiratory volume in one second/forced vital capacity <0.70) versus those without it was assessed with receiver operating characteristic analysis. Content and face validity were assessed using focus groups of primary care physicians (n = 16) and interviews with COPD patients (n = 16). RESULTS: The model with all five items (age; smoking history; the presence of wheeze, dyspnea, and phlegm) compared with models with combinations of fewer items had the highest classification accuracy (area under the curve [AUC] = 0.720) with sensitivity and specificity of 73.2% and 58.2%, respectively. The presence of three or more factors yielded the highest AUC, a result suggesting that three or more affirmative answers is the most appropriate criterion indicating presence of airflow obstruction. CONCLUSIONS: The five-item LFQ retained sufficient accuracy, sensitivity, and specificity in identifying individuals with COPD for further validation testing. Dove Medical Press 2010 2010-02-18 /pmc/articles/PMC2846155/ /pubmed/20368906 Text en © 2010 Yawn et al, publisher and licensee Dove Medical Press Ltd. This is an Open Access article which permits unrestricted noncommercial use, provided the original work is properly cited. |
spellingShingle | Original Research Yawn, Barbara P Mapel, Douglas W Mannino, David M Martinez, Fernando J Donohue, James F Hanania, Nicola A Kosinski, Mark Rendas-Baum, Regina Mintz, Matthew Samuels, Steven Dalal, Anand A Development of the Lung Function Questionnaire (LFQ) to identify airflow obstruction |
title | Development of the Lung Function Questionnaire (LFQ) to identify airflow obstruction |
title_full | Development of the Lung Function Questionnaire (LFQ) to identify airflow obstruction |
title_fullStr | Development of the Lung Function Questionnaire (LFQ) to identify airflow obstruction |
title_full_unstemmed | Development of the Lung Function Questionnaire (LFQ) to identify airflow obstruction |
title_short | Development of the Lung Function Questionnaire (LFQ) to identify airflow obstruction |
title_sort | development of the lung function questionnaire (lfq) to identify airflow obstruction |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2846155/ https://www.ncbi.nlm.nih.gov/pubmed/20368906 |
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